This document describes a study that proposes using an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller for pitch angle control of a wind turbine connected to a permanent magnet synchronous generator (PMSG) system. A cascaded ANFIS-PI controller is introduced to control the wind turbine speed. The ANFIS controller integrates the advantages of artificial neural networks and fuzzy logic controllers to better handle the non-linear dynamics of the system compared to a conventional PI controller. Simulations show that the ANFIS controller more efficiently controls the reactive power requirements and rotor speed of the PMSG-based system during grid disturbances compared to a PI controller alone.
2. enhanced pitch control characteristics of a dfig based wind turbine using ...k srikanth
This document discusses enhancing the pitch control characteristics of a DFIG (doubly fed induction generator) based wind turbine using ANFIS (adaptive neuro fuzzy inference system). It compares the pitch control, mechanical torque characteristics, and rotor speed with and without ANFIS control. When using ANFIS, the characteristics are improved both with speed error and the difference of speed and power errors as inputs, but they are enhanced most with the latter. The simulation is conducted in MATLAB/Simulink and results show ANFIS control improves the pitch control characteristics of a DFIG based wind turbine.
IRJET- A Review of MPPT Algorithms Employed in Wind Energy Conversion SystemIRJET Journal
This document reviews and compares various maximum power point tracking (MPPT) algorithms used in wind energy conversion systems. It begins with an introduction to wind energy and the need for MPPT algorithms due to the intermittent nature of wind speed. It then categorizes and describes MPPT algorithms based on whether they use direct power control (DPC) or indirect power control (IPC). DPC algorithms like hill climb search directly perturb control variables while IPC algorithms use relationships between indirect parameters. The document provides details on specific algorithms like tip speed ratio, optimal torque, perturbation and observation. It concludes by discussing hybrid and intelligent control methods like fuzzy logic and noting that each algorithm has tradeoffs in complexity, sensor requirements, and performance.
The following article presents the control of the power generated by the Doubly Fed Induction Generator, integrated into the wind system, whose rotor is linked to the power converters (Rotor Side Convert (RSC) and Grid Side Converter (GSC)) interfaced by the DC-BUS and connected to the grid via a filter (Rf, Lf) in order to obtain an optimal power to the grid and to ensure system stability. The objective of this study is to understand and to make the comparison between Sliding mode Control technique and the Flux Oriented Control in order to control the Doubly Fed Induction Generator powers exchanged with the grid, it also aims at maintaining the DC-BUS voltage constant and a unit power factor at the grid connection point.The results of simulation show the performance of the Sliding mode Control in terms of monitoring, and robustness with regard to the parametric variations, compared to the Flux Oriented Control. The performance of the systems was tested and compared with the use of MATLAB/Simulink software.
PSO-Backstepping controller of a grid connected DFIG based wind turbine IJECEIAES
This document presents a particle swarm optimization-backstepping (PSO-backstepping) controller for a doubly fed induction generator (DFIG) based wind turbine system. The controller aims to maximize energy extraction and control the active and reactive power exchanged between the generator and grid despite parameter uncertainties. An artificial bee colony algorithm is used to select the optimal rotor speed to extract maximum power for varying wind speeds. Particle swarm optimization selects the optimal backstepping controller parameters. Simulation results show the optimized performance of the proposed control technique under uncertain system parameters.
Tracking of Maximum Power from Wind Using Fuzzy Logic Controller Based On PMSGIJMER
Wind energy has gained a growing worldwide interest due to the nonstop rise in fuel cost.
The main aim of the wind-energy system is to extract the maximum power present in the wind stream. In
order to extract the highest power, the maximum power point tracking (MPPT) algorithm is used. This
paper proposes the fuzzy logic MPPT controller to track the maximum power from the wind generation
system. The maximum power is achieved based on the rotor speed of the wind system which consists of
wind turbine and PMSG. The error and change in error is given as input to the fuzzy logic and its output
is connected to the boost converter. The voltage from the dc link is controlled by the Voltage Source
Inverter (VSI), and it is placed in grid side converter control. The proposed system is designed and
evaluated in MATLAB/SIMULINK. Simulation results show the good dynamic performance of the
proposed system
Voltage Stabilization of a Wind Turbine with STATCOM Using Intelligent Contro...ijeei-iaes
Application of FACTS controller called Static Synchronous Compensator STATCOM to improve the performance of power grid with Wind System is investigated. The essential feature of the STATCOM is that it has the ability to absorb or inject fastly reactive power with power grid. Therefore the voltage regulation of the power grid with STATCOM FACTS device is achieved. Moreover restoring the stability of the wind system at suddenly step up or down in wind speed is obtained with STATCOM. This paper describes a complete simulation of voltage regulation of a wind system using STATCOM. Conventional control technique as proportional plus integral controller , and intelligent techniques as FLC and ANFIS are used in this work. The control technique is performed using MATLAB package software. The dynamic response of uncontrolled system is also investigated under wide range of disturbances. The voltage regulation by using STATCOM whose output is varied so as to maintain or control output voltage in the system. The dynamic response of controlled system is shown and comparison between the uncontrolled system and the controlled system is described to assure the validity of the proposed controller. Also comparison between the proposed control methods scheme is presented. To validate the powerful of the STATCOM FACTS controllers, the studied power system is simulated and subjected to different severe disturbances. The results prove the effectiveness of the proposed STATCOM controller in terms of fast damping the power system oscillations and restoring the power system stability and voltage.
Cuckoo search algorithm based for tunning both PI and FOPID controllers for ...IJECEIAES
Wind Energy has received great attention in this century. It influences the new power systems, adding new challenges to the power system expansion problem. Nowadays, double feed induction generator (DFIG) wind turbines are used majorly in wind farms, due to their advantages over other types. Therefore, the analysis of the system using this type has become very important. In this paper, a wind turbine modelling was introduced with suggested controllers, in order to enhance the system response, with respect to both pitch control and maximum output power. Cuckoo search algorithm (CSA), a meta-heuristic optimization technique, was implemented to determine the gains of a proportional-integral (PI) controller and fractional order proportional-integral-derivative (FOPID) controller to optimize the system, which considered three control loops: pitch, rotor-side converter, and grid-side converter control loop. Simulation results were determined using MATLAB/Simulink. The comparative analysis of the results showed that the PI Controller gave the simplest and the best response in case of the pitch and rotor-side control loops while the FOPID was the best when applied to the grid-side control loop. Based on the results and discussion, a suggestion of using a compination of each controller was introduced.
Aero Dynamic Power Control of Permanent Magnet Synchronous Generator using Fu...IRJET Journal
This document presents a study on aerodynamic power control of a permanent magnet synchronous generator (PMSG) using a hybrid fuzzy logic pitch angle controller. Conventional PI and PID controllers are used but have performance issues when operating points change. The proposed method uses a hybrid fuzzy logic controller with generator power and speed as inputs to determine the pitch angle reference for regulating turbine output power. Simulations were conducted on a 2MW PMSG wind turbine system at wind speeds of 12m/s and 14m/s. Results show the hybrid fuzzy logic controller maintains power output, speed and torque better than PI controllers, improving efficiency.
2. enhanced pitch control characteristics of a dfig based wind turbine using ...k srikanth
This document discusses enhancing the pitch control characteristics of a DFIG (doubly fed induction generator) based wind turbine using ANFIS (adaptive neuro fuzzy inference system). It compares the pitch control, mechanical torque characteristics, and rotor speed with and without ANFIS control. When using ANFIS, the characteristics are improved both with speed error and the difference of speed and power errors as inputs, but they are enhanced most with the latter. The simulation is conducted in MATLAB/Simulink and results show ANFIS control improves the pitch control characteristics of a DFIG based wind turbine.
IRJET- A Review of MPPT Algorithms Employed in Wind Energy Conversion SystemIRJET Journal
This document reviews and compares various maximum power point tracking (MPPT) algorithms used in wind energy conversion systems. It begins with an introduction to wind energy and the need for MPPT algorithms due to the intermittent nature of wind speed. It then categorizes and describes MPPT algorithms based on whether they use direct power control (DPC) or indirect power control (IPC). DPC algorithms like hill climb search directly perturb control variables while IPC algorithms use relationships between indirect parameters. The document provides details on specific algorithms like tip speed ratio, optimal torque, perturbation and observation. It concludes by discussing hybrid and intelligent control methods like fuzzy logic and noting that each algorithm has tradeoffs in complexity, sensor requirements, and performance.
The following article presents the control of the power generated by the Doubly Fed Induction Generator, integrated into the wind system, whose rotor is linked to the power converters (Rotor Side Convert (RSC) and Grid Side Converter (GSC)) interfaced by the DC-BUS and connected to the grid via a filter (Rf, Lf) in order to obtain an optimal power to the grid and to ensure system stability. The objective of this study is to understand and to make the comparison between Sliding mode Control technique and the Flux Oriented Control in order to control the Doubly Fed Induction Generator powers exchanged with the grid, it also aims at maintaining the DC-BUS voltage constant and a unit power factor at the grid connection point.The results of simulation show the performance of the Sliding mode Control in terms of monitoring, and robustness with regard to the parametric variations, compared to the Flux Oriented Control. The performance of the systems was tested and compared with the use of MATLAB/Simulink software.
PSO-Backstepping controller of a grid connected DFIG based wind turbine IJECEIAES
This document presents a particle swarm optimization-backstepping (PSO-backstepping) controller for a doubly fed induction generator (DFIG) based wind turbine system. The controller aims to maximize energy extraction and control the active and reactive power exchanged between the generator and grid despite parameter uncertainties. An artificial bee colony algorithm is used to select the optimal rotor speed to extract maximum power for varying wind speeds. Particle swarm optimization selects the optimal backstepping controller parameters. Simulation results show the optimized performance of the proposed control technique under uncertain system parameters.
Tracking of Maximum Power from Wind Using Fuzzy Logic Controller Based On PMSGIJMER
Wind energy has gained a growing worldwide interest due to the nonstop rise in fuel cost.
The main aim of the wind-energy system is to extract the maximum power present in the wind stream. In
order to extract the highest power, the maximum power point tracking (MPPT) algorithm is used. This
paper proposes the fuzzy logic MPPT controller to track the maximum power from the wind generation
system. The maximum power is achieved based on the rotor speed of the wind system which consists of
wind turbine and PMSG. The error and change in error is given as input to the fuzzy logic and its output
is connected to the boost converter. The voltage from the dc link is controlled by the Voltage Source
Inverter (VSI), and it is placed in grid side converter control. The proposed system is designed and
evaluated in MATLAB/SIMULINK. Simulation results show the good dynamic performance of the
proposed system
Voltage Stabilization of a Wind Turbine with STATCOM Using Intelligent Contro...ijeei-iaes
Application of FACTS controller called Static Synchronous Compensator STATCOM to improve the performance of power grid with Wind System is investigated. The essential feature of the STATCOM is that it has the ability to absorb or inject fastly reactive power with power grid. Therefore the voltage regulation of the power grid with STATCOM FACTS device is achieved. Moreover restoring the stability of the wind system at suddenly step up or down in wind speed is obtained with STATCOM. This paper describes a complete simulation of voltage regulation of a wind system using STATCOM. Conventional control technique as proportional plus integral controller , and intelligent techniques as FLC and ANFIS are used in this work. The control technique is performed using MATLAB package software. The dynamic response of uncontrolled system is also investigated under wide range of disturbances. The voltage regulation by using STATCOM whose output is varied so as to maintain or control output voltage in the system. The dynamic response of controlled system is shown and comparison between the uncontrolled system and the controlled system is described to assure the validity of the proposed controller. Also comparison between the proposed control methods scheme is presented. To validate the powerful of the STATCOM FACTS controllers, the studied power system is simulated and subjected to different severe disturbances. The results prove the effectiveness of the proposed STATCOM controller in terms of fast damping the power system oscillations and restoring the power system stability and voltage.
Cuckoo search algorithm based for tunning both PI and FOPID controllers for ...IJECEIAES
Wind Energy has received great attention in this century. It influences the new power systems, adding new challenges to the power system expansion problem. Nowadays, double feed induction generator (DFIG) wind turbines are used majorly in wind farms, due to their advantages over other types. Therefore, the analysis of the system using this type has become very important. In this paper, a wind turbine modelling was introduced with suggested controllers, in order to enhance the system response, with respect to both pitch control and maximum output power. Cuckoo search algorithm (CSA), a meta-heuristic optimization technique, was implemented to determine the gains of a proportional-integral (PI) controller and fractional order proportional-integral-derivative (FOPID) controller to optimize the system, which considered three control loops: pitch, rotor-side converter, and grid-side converter control loop. Simulation results were determined using MATLAB/Simulink. The comparative analysis of the results showed that the PI Controller gave the simplest and the best response in case of the pitch and rotor-side control loops while the FOPID was the best when applied to the grid-side control loop. Based on the results and discussion, a suggestion of using a compination of each controller was introduced.
Aero Dynamic Power Control of Permanent Magnet Synchronous Generator using Fu...IRJET Journal
This document presents a study on aerodynamic power control of a permanent magnet synchronous generator (PMSG) using a hybrid fuzzy logic pitch angle controller. Conventional PI and PID controllers are used but have performance issues when operating points change. The proposed method uses a hybrid fuzzy logic controller with generator power and speed as inputs to determine the pitch angle reference for regulating turbine output power. Simulations were conducted on a 2MW PMSG wind turbine system at wind speeds of 12m/s and 14m/s. Results show the hybrid fuzzy logic controller maintains power output, speed and torque better than PI controllers, improving efficiency.
Optimal Tuning of PI Controllers for Doubly-Fed Induction Generator-Based Win...IJERA Editor
This paper introduces modelling and simulation of Doubly-Fed Induction Generator (DFIG) of Wind Energy
Conversion System (WECS). Two Pulse Width Modulation (PWM) converters have been connected back to
back from the rotor terminals to the utility grid via a dc-link. Vector control system typically controlled by a set
of PI controllers, which have an important effect on the performance of system dynamics. This paper presents an
optimally tuned PI controllers design of a DFIG wind energy system connected to grid using Particle Swarm
Optimization (PSO), and Grey Wolf Optimizer (GWO). PSO and GWO used to optimize PI controller
parameters of both Grid side converter (GSC), and Rotor side converter (RSC) to improve the dynamic operation
of the DFIG wind energy system under a variable speed condition.
Nowadays, the fossil combustibles are replaced by renewable energies sources .These renewable energies are nontoxic, dirt free, and protected and reasonably cheep for the user. Renewable energy resources like bio-gas, geothermal, solar, tidal waves and wind have been found as the best alternatives energy source. Among those renewable energy sources, wind energy stands foremost for generating electricity. In order to have a constant utilization of wind energy and to extract maximum power from wind energy. In this paper, various control strategies prevalent to both the Doubly Fed Induction Generator (DFIG)and Permanent Magnet Synchronous Generator(PMSG) have been analyzed . In addition, control topology applicable to power electronics converter/inverter used in wind electric generators are discussed.
Optimal fuzzy-PID controller with derivative filter for load frequency contro...IJECEIAES
A newly adopted optimization technique known as sine-cosine algorithm (SCA) is suggested in this research article to tune the gains of Fuzzy-PID controller along with a derivative filter (Fuzzy-PIDF) of a hybrid interconnected system for the Load Frequency Control (LFC). The scrutinized multi-generation system considers hydro, gas and thermal sources in all areas of the dual area power system integrated with UPFC (unified power flow controller) and SMES (Super-conducting magnetic energy storage) units. The preeminence of the offered Fuzzy-PIDF controller is recognized over Fuzzy-PID controller by comparing their dynamic performance indices concerning minimum undershoot, settling time and also peak overshoot. Finally, the sensitiveness and sturdiness of the recommended control method are proved by altering the parameters of the system from their nominal values and by the implementation of random loading in the system.
IRJET- Analysis of Load Frequency Control for a Distributed Grid System Invol...IRJET Journal
This document analyzes load frequency control for a distributed grid system involving wind, hydro, and thermal power plants using conventional and fuzzy logic controllers. It models a three-area system with area 1 containing a thermal plant, area 2 containing a hydro plant, and area 3 containing wind generation. It simulates the system responses to a 1% load disturbance in one area using each controller and compares the undershoot and settling time. The fuzzy logic controller provides better dynamic response with lower undershoot, overshoot, and faster settling time compared to the conventional PI controller. This shows fuzzy logic control is more effective at maintaining frequency stability in an interconnected power system with various generation sources.
This document summarizes a research paper that proposes an enhanced fault ride-through technique for permanent magnet synchronous generator (PMSG) wind turbine systems using a DC link-based rotor-side controller. The paper begins with an introduction to PMSG wind turbines and issues around voltage fluctuations and faults. It then reviews three existing grid-connected wind power systems based on PMSG, squirrel cage induction generator, and doubly fed induction generator. The proposed control scheme is compared to conventional control schemes, with simulation results showing the proposed scheme responding faster and more accurately to faults while eliminating the need for a DC chopper. In conclusion, the proposed strategy satisfies power system requirements under different grid conditions and regulates active/reactive current directly through the grid
Abstract: Wind energy is becoming the most effective renewable energy source mainly because of the growing concerns over carbon emissions and uncertainties in fossil fuel supplies and the government policy impetus. The increasing penetration of wind power in distribution systems may significantly affect VAR compensation and max. Power tracking of the systems, particularly during wind turbine cut-in and cut-off disturbances.
A DFIG based wind turbine has an ability to generate maximum power with varying and adjustable speed, ability to control active and reactive power by the integration of electronic power converters, low power rating of cost converter components, and so on. This study presents an overview and literature survey over past few decades on the different problems associated due to penetration of WT-DFIG in the power system and control aspects of DFIG.
This document summarizes a research paper about a DFIG (Doubly Fed Induction Generator)-based wind power conversion system connected to the electric grid. It describes the system configuration using a DFIG with two PWM voltage source converters connected back-to-back via a DC link to feed AC power to the grid. It also discusses limitations of conventional DFIG control techniques and proposes a control strategy using a battery energy storage system in the DC link to maintain constant grid power. Simulation results show the proposed strategy enhances DFIG performance.
Intelligent Control for Doubly Fed Induction Generator Connected to the Elect...IJPEDS-IAES
In this paper we are interested in optimizing the wind power capture, using the Doubly Fed Induction Generator (DFIG). This machine is preferred to other types of variable speed generator because of their advantages in economic terms and control. The Artificial Neural Network (ANN) based on Direct Torque Control (DTC) which is used to control the electromagnetic torque in order to extract the maximum power. The main objective of this intelligent technique is to replace the conventional switching table by a voltage selector based on (ANN) to reduce torque and flux ripples. Moreover, the fuzzy logic controller is used to grid side converter to keep DC link voltage constant, and also to achieve unity power factor operation. The main advantage of the two control strategies proposed in this paper is that they are not influenced by the variation of the machine parameter. The pitch control is also presented to limit the generator power at its rated value. Simulation results of 1,5 MW, for (DFIG) based Wind Energy Conversion System (WECS) confirm the effectiveness and the performance of the global proposed approaches.
This document summarizes a research paper that proposes using direct current vector control for a permanent magnet synchronous generator (PMSG) in a wind turbine system. It begins by introducing PMSG wind systems and their advantages over other variable speed wind turbine technologies. It then describes the configuration and control levels of the PMSG wind turbine system. The document outlines the PMSG and wind turbine models used and discusses the direct current vector control strategies proposed for controlling the machine side and grid side converters. It presents the MATLAB simulation model and provides plots of the generator speed and active and reactive power outputs from the simulation results.
Voltage Compensation in Wind Power System using STATCOM Controlled by Soft Co...IJECEIAES
When severe voltage sags occur in weak power systemsassociated with gridconnected wind farms employing doubly fed induction generators, voltageinstability occurs, which may lead to forced disconnection of wind turbine.Shunt flexible AC transmission system devices like static synchronous compensator (STATCOM) may be harnessed to provide voltage support bydynamic injection of reactive power.In this work, the STATCOM providedvoltage compensation at the point of common coupling in five test cases,namely, simultaneous occurrence of step change (drop) in wind speed and dip in grid voltage, single line to ground, line to line, double line to groundfaults and sudden increment in load by more than a thousand times. Threetechniques were employed to control the STATCOM, namely, fuzzy logic,particle swarm optimization and a combination of both. A performancecomparison was made among the three soft computing techniques used tocontrol the STATCOM on the basis of the amount of voltage compensationoffered at the point of common coupling. The simulations were done with thehelp of SimPowerSystems available with MATLAB / SIMULINK and theresults validated that the STATCOM controlled by all the three techniques offered voltage compensation in all the cases considered.
Automatic power generation control structure for smart electrical power gridseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document proposes a load optimization algorithm to complement nested-loop extremum seeking control (NLESC) for wind farm energy optimization. The algorithm formulates an objective function for the NLESC that incorporates structural load variations as penalties, allowing it to find the optimal power output while mitigating excessive loads. Simulation results show the new algorithm reduces peak loads by up to 25% under steady wind and reduces fatigue and mean loads by up to 20% and 15% respectively under turbulent wind, while preserving power output. The paper aims to study the stability and effectiveness of the controller under increasing turbulence.
IRJET- Modelling of a PMSG Wind Turbine with Voltage ControlIRJET Journal
This document summarizes a study that models a wind energy conversion system using a permanent magnet synchronous generator (PMSG) with variable-speed control. It describes the system components, including the wind turbine, PMSG, maximum power point tracking (MPPT) algorithm, and inverters. Mathematical models are presented for the wind turbine, PMSG in a d-q reference frame, and MPPT control. Simulations were performed in MATLAB to verify the system design models for the generator-side inverter, grid-side inverter, MPPT controller, and pitch angle control of the wind turbine. The simulation results validate the autonomous control system design for the PMSG-based wind energy conversion system.
Performance analysis of various parameters by comparison of conventional pitc...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Performance analysis of various parameters by comparison of conventional pitc...eSAT Journals
Abstract This paper deals with a variable speed wind turbine coupled with a permanent magnet synchronous generator connected through a two mass drive train. This drive train is connected to synchronous generator and after the conversion process finally connected to grid and the idea of transmission over a long distance makes the use of converter necessary and at the receiving end. The inverter is used to convert it back and the inverter is designed with a proper gate signal to get the best output three phase voltages. The fuzzy logic controller is used to track generator speed with varying wind speed to optimize turbine aerodynamic efficiency in the outer speed loop. Pitch angle control of wind turbine has been used widely to reduce torque and output power variation in high rated wind speed areas .The machine side converter is designed to extract maximum power from the wind. In this work a WECS connected with grid is designed in Matlab and a Fuzzy controller is designed to improve the output and we can see the major difference in DC link voltage and reactive power in transmission line. From the outputs we can also go through the reactive power issue which system is best for inductive load or capacitive load. The simple PI system is good for capacitive load and the fuzzy system is better option for the inductive load. The results of both the system of normal controller and fuzzy controller is compared and analyzed. Key Words: Fuzzy logic controller (FLC), permanent magnet synchronous generator (PMSG), insulated gate bipolar transistor (IGBT) , Pulse width modulation (PWM), Wind energy conversion system, DC link capacitor. FACTS Flexible A.C Transmission system, PI proportional integral
Study of Characteristics of DFIG Based Wind TurbineIJMTST Journal
In this paper the study of active power, reactive power, stator current, rotor current and grid voltage characteristics of doubly fed induction generator based wind turbine are studied. The pulses for the stator and rotor are applied by using a hysteresis current controller. The main drawback of wind energy conversion system is that it is highly nonlinear. To overcome this problem a fuzzy controller on rotor side and a discrete PID controller on stator side are applied. The active and reactive powers are controlled by this nonlinear strategy. The active power is maximized by these both controllers. The entire simulation is conducted on mat lab/simulink. The results obtained are satisfactory.
STATCOM Based Wind Energy System by using Hybrid Fuzzy Logic ControllerIJMTST Journal
The influence of the hybrid system in the grid system concerning the power quality measurements are the active power, reactive power, voltage deviation, flicker, harmonics, and electrical behavior of switching operation and these are measured according to International Electro-Technical Commission (IEC). The STATCOM provides reactive power support to hybrid system and load. These voltage fluctuations can be eliminated with the help of advanced reactive power compensator device such as SVC and STATCOM. This work focus on design, modeling and analysis of FACTS device in wind farm interconnected with grid during fault. These devices can be controlled by Synchronous Reference Frame theory. The performance is analyzed with the help of PI controller and Fuzzy logic technique. by using Matlab/Simulink Model.
4. comparision of pifuzzy techniques for compensation of unbalanced voltages ...EditorJST
This paper proposes an effective controller for grid connected wind turbine based permanent magnet synchronous machine for improving unbalanced voltages. In this paper, we proposed a comparative analysis under different controllers like PI and Fuzzy Controller to PMSG system. A control structure is designed based on the positive sequence reference signals. With the help of these controllers, the double frequency oscillations in DC-link voltages and variations in active power can be eliminated. More ever, the proposed system can be implemented in Matlab/Simulink and the performance of the proposed Grid based PMSG wind system under grid fault conditions is verified.
This paper proposes a feedback linearization control of doubly fed induction generator based wind energy systems for improving decoupled control of the active and reactive powers stator. In order to enhance dynamic performance of the controller studied, the adopted control is reinforced by a fuzzy logic controller. This approach is designed without any model of rotor flux estimation. The difficulty of measuring of rotor flux is overcome by using high gain observer. The stability of the nonlinear observer is proved by the Lyapunov theory. Numerical simulations using MATLAB-SIMULINK shown clearly the robustness of the proposed control, particularly to the disturbance rejection and parametric variations compared with the conventional method.
Thesis- Cont sys for wind turbines (Sept 2015 revision)Larry Branscomb
This document describes the modeling of a wind turbine power generation system using MATLAB and Simulink. It presents 5 models of increasing complexity:
System 1 models a 600 kW DC generator, gearbox, and inertial components with torque and voltage inputs. State-space equations are derived.
System 2 adds aerodynamic wind torque effects to System 1 for a complete plant model without controls.
Systems 3 and 4 add speed and torque control techniques to maximize power capture in System 2.
System 5 replaces the DC generator with an AC generator, incorporating AC machine equations.
The goal is to demonstrate control methods for maximizing wind power extraction through systematic modeling and evaluation of each system. Validation is emphasized to
Design And Simulation of Microgrid Control based Wind Power Generation Syst...IRJET Journal
- The document proposes a design for a DC microgrid-based wind power generation system for a poultry farm using fuzzy logic control. The system includes multiple wind turbines connected to a DC grid through AC/DC converters, with two inverters connecting the DC grid to the distribution grid.
- A fuzzy logic controller is introduced to regulate the microgrid voltage and power flow during fluctuations and maintain a constant power output from the wind turbines to mitigate errors. Modeling equations are provided for the various system components including the PMSG wind turbines, AC/DC converters, DC grid, and DC/AC inverters. The system is designed to operate connected to or isolated from the main grid.
IRJET- Performance Enhancement of DFIG based Wind Farms Integrated in Power S...IRJET Journal
This document discusses improving the performance of doubly fed induction generator (DFIG) based wind farms integrated into power systems under voltage dips. It proposes coordinating the automatic voltage regulator (AVR) and power system stabilizer (PSS) of synchronous generators using fuzzy logic. A fuzzy coordinator is designed to eliminate harmful interactions between AVR and PSS during faults by adjusting their gains based on rotor angle and terminal voltage deviations. Simulation results on the IEEE 10-machine 39-bus system show the fuzzy coordinator helps transmit voltage at the point of common coupling and reduces DFIGs' reactive power needs under faults, enhancing system performance.
Optimal Tuning of PI Controllers for Doubly-Fed Induction Generator-Based Win...IJERA Editor
This paper introduces modelling and simulation of Doubly-Fed Induction Generator (DFIG) of Wind Energy
Conversion System (WECS). Two Pulse Width Modulation (PWM) converters have been connected back to
back from the rotor terminals to the utility grid via a dc-link. Vector control system typically controlled by a set
of PI controllers, which have an important effect on the performance of system dynamics. This paper presents an
optimally tuned PI controllers design of a DFIG wind energy system connected to grid using Particle Swarm
Optimization (PSO), and Grey Wolf Optimizer (GWO). PSO and GWO used to optimize PI controller
parameters of both Grid side converter (GSC), and Rotor side converter (RSC) to improve the dynamic operation
of the DFIG wind energy system under a variable speed condition.
Nowadays, the fossil combustibles are replaced by renewable energies sources .These renewable energies are nontoxic, dirt free, and protected and reasonably cheep for the user. Renewable energy resources like bio-gas, geothermal, solar, tidal waves and wind have been found as the best alternatives energy source. Among those renewable energy sources, wind energy stands foremost for generating electricity. In order to have a constant utilization of wind energy and to extract maximum power from wind energy. In this paper, various control strategies prevalent to both the Doubly Fed Induction Generator (DFIG)and Permanent Magnet Synchronous Generator(PMSG) have been analyzed . In addition, control topology applicable to power electronics converter/inverter used in wind electric generators are discussed.
Optimal fuzzy-PID controller with derivative filter for load frequency contro...IJECEIAES
A newly adopted optimization technique known as sine-cosine algorithm (SCA) is suggested in this research article to tune the gains of Fuzzy-PID controller along with a derivative filter (Fuzzy-PIDF) of a hybrid interconnected system for the Load Frequency Control (LFC). The scrutinized multi-generation system considers hydro, gas and thermal sources in all areas of the dual area power system integrated with UPFC (unified power flow controller) and SMES (Super-conducting magnetic energy storage) units. The preeminence of the offered Fuzzy-PIDF controller is recognized over Fuzzy-PID controller by comparing their dynamic performance indices concerning minimum undershoot, settling time and also peak overshoot. Finally, the sensitiveness and sturdiness of the recommended control method are proved by altering the parameters of the system from their nominal values and by the implementation of random loading in the system.
IRJET- Analysis of Load Frequency Control for a Distributed Grid System Invol...IRJET Journal
This document analyzes load frequency control for a distributed grid system involving wind, hydro, and thermal power plants using conventional and fuzzy logic controllers. It models a three-area system with area 1 containing a thermal plant, area 2 containing a hydro plant, and area 3 containing wind generation. It simulates the system responses to a 1% load disturbance in one area using each controller and compares the undershoot and settling time. The fuzzy logic controller provides better dynamic response with lower undershoot, overshoot, and faster settling time compared to the conventional PI controller. This shows fuzzy logic control is more effective at maintaining frequency stability in an interconnected power system with various generation sources.
This document summarizes a research paper that proposes an enhanced fault ride-through technique for permanent magnet synchronous generator (PMSG) wind turbine systems using a DC link-based rotor-side controller. The paper begins with an introduction to PMSG wind turbines and issues around voltage fluctuations and faults. It then reviews three existing grid-connected wind power systems based on PMSG, squirrel cage induction generator, and doubly fed induction generator. The proposed control scheme is compared to conventional control schemes, with simulation results showing the proposed scheme responding faster and more accurately to faults while eliminating the need for a DC chopper. In conclusion, the proposed strategy satisfies power system requirements under different grid conditions and regulates active/reactive current directly through the grid
Abstract: Wind energy is becoming the most effective renewable energy source mainly because of the growing concerns over carbon emissions and uncertainties in fossil fuel supplies and the government policy impetus. The increasing penetration of wind power in distribution systems may significantly affect VAR compensation and max. Power tracking of the systems, particularly during wind turbine cut-in and cut-off disturbances.
A DFIG based wind turbine has an ability to generate maximum power with varying and adjustable speed, ability to control active and reactive power by the integration of electronic power converters, low power rating of cost converter components, and so on. This study presents an overview and literature survey over past few decades on the different problems associated due to penetration of WT-DFIG in the power system and control aspects of DFIG.
This document summarizes a research paper about a DFIG (Doubly Fed Induction Generator)-based wind power conversion system connected to the electric grid. It describes the system configuration using a DFIG with two PWM voltage source converters connected back-to-back via a DC link to feed AC power to the grid. It also discusses limitations of conventional DFIG control techniques and proposes a control strategy using a battery energy storage system in the DC link to maintain constant grid power. Simulation results show the proposed strategy enhances DFIG performance.
Intelligent Control for Doubly Fed Induction Generator Connected to the Elect...IJPEDS-IAES
In this paper we are interested in optimizing the wind power capture, using the Doubly Fed Induction Generator (DFIG). This machine is preferred to other types of variable speed generator because of their advantages in economic terms and control. The Artificial Neural Network (ANN) based on Direct Torque Control (DTC) which is used to control the electromagnetic torque in order to extract the maximum power. The main objective of this intelligent technique is to replace the conventional switching table by a voltage selector based on (ANN) to reduce torque and flux ripples. Moreover, the fuzzy logic controller is used to grid side converter to keep DC link voltage constant, and also to achieve unity power factor operation. The main advantage of the two control strategies proposed in this paper is that they are not influenced by the variation of the machine parameter. The pitch control is also presented to limit the generator power at its rated value. Simulation results of 1,5 MW, for (DFIG) based Wind Energy Conversion System (WECS) confirm the effectiveness and the performance of the global proposed approaches.
This document summarizes a research paper that proposes using direct current vector control for a permanent magnet synchronous generator (PMSG) in a wind turbine system. It begins by introducing PMSG wind systems and their advantages over other variable speed wind turbine technologies. It then describes the configuration and control levels of the PMSG wind turbine system. The document outlines the PMSG and wind turbine models used and discusses the direct current vector control strategies proposed for controlling the machine side and grid side converters. It presents the MATLAB simulation model and provides plots of the generator speed and active and reactive power outputs from the simulation results.
Voltage Compensation in Wind Power System using STATCOM Controlled by Soft Co...IJECEIAES
When severe voltage sags occur in weak power systemsassociated with gridconnected wind farms employing doubly fed induction generators, voltageinstability occurs, which may lead to forced disconnection of wind turbine.Shunt flexible AC transmission system devices like static synchronous compensator (STATCOM) may be harnessed to provide voltage support bydynamic injection of reactive power.In this work, the STATCOM providedvoltage compensation at the point of common coupling in five test cases,namely, simultaneous occurrence of step change (drop) in wind speed and dip in grid voltage, single line to ground, line to line, double line to groundfaults and sudden increment in load by more than a thousand times. Threetechniques were employed to control the STATCOM, namely, fuzzy logic,particle swarm optimization and a combination of both. A performancecomparison was made among the three soft computing techniques used tocontrol the STATCOM on the basis of the amount of voltage compensationoffered at the point of common coupling. The simulations were done with thehelp of SimPowerSystems available with MATLAB / SIMULINK and theresults validated that the STATCOM controlled by all the three techniques offered voltage compensation in all the cases considered.
Automatic power generation control structure for smart electrical power gridseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document proposes a load optimization algorithm to complement nested-loop extremum seeking control (NLESC) for wind farm energy optimization. The algorithm formulates an objective function for the NLESC that incorporates structural load variations as penalties, allowing it to find the optimal power output while mitigating excessive loads. Simulation results show the new algorithm reduces peak loads by up to 25% under steady wind and reduces fatigue and mean loads by up to 20% and 15% respectively under turbulent wind, while preserving power output. The paper aims to study the stability and effectiveness of the controller under increasing turbulence.
IRJET- Modelling of a PMSG Wind Turbine with Voltage ControlIRJET Journal
This document summarizes a study that models a wind energy conversion system using a permanent magnet synchronous generator (PMSG) with variable-speed control. It describes the system components, including the wind turbine, PMSG, maximum power point tracking (MPPT) algorithm, and inverters. Mathematical models are presented for the wind turbine, PMSG in a d-q reference frame, and MPPT control. Simulations were performed in MATLAB to verify the system design models for the generator-side inverter, grid-side inverter, MPPT controller, and pitch angle control of the wind turbine. The simulation results validate the autonomous control system design for the PMSG-based wind energy conversion system.
Performance analysis of various parameters by comparison of conventional pitc...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Performance analysis of various parameters by comparison of conventional pitc...eSAT Journals
Abstract This paper deals with a variable speed wind turbine coupled with a permanent magnet synchronous generator connected through a two mass drive train. This drive train is connected to synchronous generator and after the conversion process finally connected to grid and the idea of transmission over a long distance makes the use of converter necessary and at the receiving end. The inverter is used to convert it back and the inverter is designed with a proper gate signal to get the best output three phase voltages. The fuzzy logic controller is used to track generator speed with varying wind speed to optimize turbine aerodynamic efficiency in the outer speed loop. Pitch angle control of wind turbine has been used widely to reduce torque and output power variation in high rated wind speed areas .The machine side converter is designed to extract maximum power from the wind. In this work a WECS connected with grid is designed in Matlab and a Fuzzy controller is designed to improve the output and we can see the major difference in DC link voltage and reactive power in transmission line. From the outputs we can also go through the reactive power issue which system is best for inductive load or capacitive load. The simple PI system is good for capacitive load and the fuzzy system is better option for the inductive load. The results of both the system of normal controller and fuzzy controller is compared and analyzed. Key Words: Fuzzy logic controller (FLC), permanent magnet synchronous generator (PMSG), insulated gate bipolar transistor (IGBT) , Pulse width modulation (PWM), Wind energy conversion system, DC link capacitor. FACTS Flexible A.C Transmission system, PI proportional integral
Study of Characteristics of DFIG Based Wind TurbineIJMTST Journal
In this paper the study of active power, reactive power, stator current, rotor current and grid voltage characteristics of doubly fed induction generator based wind turbine are studied. The pulses for the stator and rotor are applied by using a hysteresis current controller. The main drawback of wind energy conversion system is that it is highly nonlinear. To overcome this problem a fuzzy controller on rotor side and a discrete PID controller on stator side are applied. The active and reactive powers are controlled by this nonlinear strategy. The active power is maximized by these both controllers. The entire simulation is conducted on mat lab/simulink. The results obtained are satisfactory.
STATCOM Based Wind Energy System by using Hybrid Fuzzy Logic ControllerIJMTST Journal
The influence of the hybrid system in the grid system concerning the power quality measurements are the active power, reactive power, voltage deviation, flicker, harmonics, and electrical behavior of switching operation and these are measured according to International Electro-Technical Commission (IEC). The STATCOM provides reactive power support to hybrid system and load. These voltage fluctuations can be eliminated with the help of advanced reactive power compensator device such as SVC and STATCOM. This work focus on design, modeling and analysis of FACTS device in wind farm interconnected with grid during fault. These devices can be controlled by Synchronous Reference Frame theory. The performance is analyzed with the help of PI controller and Fuzzy logic technique. by using Matlab/Simulink Model.
4. comparision of pifuzzy techniques for compensation of unbalanced voltages ...EditorJST
This paper proposes an effective controller for grid connected wind turbine based permanent magnet synchronous machine for improving unbalanced voltages. In this paper, we proposed a comparative analysis under different controllers like PI and Fuzzy Controller to PMSG system. A control structure is designed based on the positive sequence reference signals. With the help of these controllers, the double frequency oscillations in DC-link voltages and variations in active power can be eliminated. More ever, the proposed system can be implemented in Matlab/Simulink and the performance of the proposed Grid based PMSG wind system under grid fault conditions is verified.
This paper proposes a feedback linearization control of doubly fed induction generator based wind energy systems for improving decoupled control of the active and reactive powers stator. In order to enhance dynamic performance of the controller studied, the adopted control is reinforced by a fuzzy logic controller. This approach is designed without any model of rotor flux estimation. The difficulty of measuring of rotor flux is overcome by using high gain observer. The stability of the nonlinear observer is proved by the Lyapunov theory. Numerical simulations using MATLAB-SIMULINK shown clearly the robustness of the proposed control, particularly to the disturbance rejection and parametric variations compared with the conventional method.
Thesis- Cont sys for wind turbines (Sept 2015 revision)Larry Branscomb
This document describes the modeling of a wind turbine power generation system using MATLAB and Simulink. It presents 5 models of increasing complexity:
System 1 models a 600 kW DC generator, gearbox, and inertial components with torque and voltage inputs. State-space equations are derived.
System 2 adds aerodynamic wind torque effects to System 1 for a complete plant model without controls.
Systems 3 and 4 add speed and torque control techniques to maximize power capture in System 2.
System 5 replaces the DC generator with an AC generator, incorporating AC machine equations.
The goal is to demonstrate control methods for maximizing wind power extraction through systematic modeling and evaluation of each system. Validation is emphasized to
Design And Simulation of Microgrid Control based Wind Power Generation Syst...IRJET Journal
- The document proposes a design for a DC microgrid-based wind power generation system for a poultry farm using fuzzy logic control. The system includes multiple wind turbines connected to a DC grid through AC/DC converters, with two inverters connecting the DC grid to the distribution grid.
- A fuzzy logic controller is introduced to regulate the microgrid voltage and power flow during fluctuations and maintain a constant power output from the wind turbines to mitigate errors. Modeling equations are provided for the various system components including the PMSG wind turbines, AC/DC converters, DC grid, and DC/AC inverters. The system is designed to operate connected to or isolated from the main grid.
IRJET- Performance Enhancement of DFIG based Wind Farms Integrated in Power S...IRJET Journal
This document discusses improving the performance of doubly fed induction generator (DFIG) based wind farms integrated into power systems under voltage dips. It proposes coordinating the automatic voltage regulator (AVR) and power system stabilizer (PSS) of synchronous generators using fuzzy logic. A fuzzy coordinator is designed to eliminate harmful interactions between AVR and PSS during faults by adjusting their gains based on rotor angle and terminal voltage deviations. Simulation results on the IEEE 10-machine 39-bus system show the fuzzy coordinator helps transmit voltage at the point of common coupling and reduces DFIGs' reactive power needs under faults, enhancing system performance.
Controlling Flicker Caused Due to Power Fluctuations by Using Individual Pitc...IRJET Journal
This document summarizes a research paper that proposes a new control scheme called Individual Pitch Control (IPC) to reduce power fluctuations in variable speed wind turbines caused by wind variations. IPC controls each blade of the wind turbine individually based on wind speed and direction to minimize oscillations in active power generation. The researchers designed and tested the IPC control scheme using MATLAB/Simulink software. IPC aims to address limitations of existing flicker mitigation techniques like reactive compensation and collective pitch control for variable speed wind turbines connected to weak grids.
IRJET- Improvement of Power System Stability in Wind Turbine by using Facts D...IRJET Journal
This document summarizes a research paper that proposes using a predictive power control strategy to improve the stability of power systems with wind farms that use doubly fed induction generator wind turbines. The strategy involves using a super capacitor energy storage system to control the active power from the grid side converter and using a static synchronous series compensator to reduce low frequency oscillations. A model predictive control approach is used to predict the future system response and increase damping. Simulation results on MATLAB/Simulink show the control strategy is able to stabilize voltage and current signals within 0.25 and 0.29 seconds respectively, improving upon conventional PI control.
Design of Integrated Generator-Rectifier System to Determine the Maximum Powe...IRJET Journal
This document summarizes a research paper that proposes a fuzzy logic controller-based maximum power point tracking system for an integrated generator-rectifier system used in offshore wind turbines. The system combines a permanent magnet synchronous generator with active and passive rectifiers. A fuzzy logic controller analyzes the d-axis current of the active rectifier to achieve maximum power point tracking and improve the efficiency of the wind energy conversion system. The proposed method is assessed using MATLAB/Simulink simulations. It is suggested that the integrated system using a fuzzy logic controller can help reduce the levelized cost of energy for offshore wind power applications.
This paper presents the modeling and simulation of wind energy Conversion System using the Permanent Magnet Synchronous Generator (PMSG). The objectives are: to extract the maximum power of the wind speed by controlling the electromagnetic torque of the PMSG, to maintain constant the DC-link voltage despite the wind speed variations and to attain the unity power factor. In order to ensure a regulation with high performance and a good robustness against the internal and the external disturbances, a new control strategy called the Active Disturbance Rejection Control (ADRC) is used. Therefore, the Analysis and simulation of the ADRC and PI controllers are developed with MATLAB/Simulink software. The performance of these controllers is compared in term of references tracking, robustness and grid faults.
IRJET- A Review of Power Control Strategies for DFIG based Wind Energy Conver...IRJET Journal
This document reviews several power control strategies for a Doubly Fed Induction Generator (DFIG) based wind energy conversion system. It discusses DFIG configurations using static Kramer drive and SCR converters, as well as DFIG configurations that provide active filter capabilities to mitigate harmonics. It also reviews a DFIG control strategy based on a power transfer matrix that directly controls real and reactive power, and DFIG configurations using PI controllers and fuzzy logic controllers to independently control active and reactive power exchange. The strategies are compared based on factors like cost, efficiency, power consumption, and harmonic distortion.
This document summarizes a research article that addresses controlling a wind energy conversion system (WECS) consisting of a wind turbine connected to the grid via a doubly fed induction generator (DFIG) and an AC/DC/AC converter. The control objectives are to: 1) control the generator speed to track an optimal reference, 2) control the stator reactive power to be null, 3) regulate the DC-link voltage to a constant value, and 4) ensure a unitary power factor. A high gain observer is designed to estimate unmeasurable mechanical variables. A sliding mode controller is developed using the observer to achieve the control objectives. Simulation results using MATLAB/SIMULINK evaluate the performance of the proposed controller under a
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Dynamic responses improvement of grid connected wpgs using flc in high wind s...ijscmcj
Environmental and sustainability concerns are developing the significance of distributed generation (DG) based on renewable energy sources. In this paper, dynamic responses investigation of grid connected wind turbine using permanent magnet synchronous generator (PMSG) under variable wind speeds and load circumstances is carried out. In order to control of turbine output power using Fuzzy Logic controller (FLC) in comparison with PI controller is proposed. Furthermore, the pitch angle based on FLC using wind speed and active power as inputs, can have faster responses, thereby leading to smoother power curves, enhancement of dynamic performance of wind turbine and prevention of mechanical damages to PMSG. Inverter adjusted the DC link voltage and active power is fed by d-axis and reactive power is fed by q-axis (using P-Q control mode). Simulation of wind power generation system (WPGS) is carried out in Matlab/Simulink, and the results verify the correctness and feasibility of control strategy.
DYNAMIC RESPONSES IMPROVEMENT OF GRID CONNECTED WPGS USING FLC IN HIGH WIND S...ijscmcjournal
Environmental and sustainability concerns are developing the significance of distributed generation (DG) based on renewable energy sources. In this paper, dynamic responses investigation of grid connected wind turbine using permanent magnet synchronous generator (PMSG) under variable wind speeds and load circumstances is carried out. In order to control of turbine output power using Fuzzy Logic controller (FLC) in comparison with PI controller is proposed. Furthermore, the pitch angle based on FLC using wind speed and active power as inputs, can have faster responses, thereby leading to smoother power curves, enhancement of dynamic performance of wind turbine and prevention of mechanical damages to PMSG. Inverter adjusted the DC link voltage and active power is fed by d-axis and reactive power is fed by q-axis (using P-Q control mode). Simulation of wind power generation system (WPGS) is carried out in Matlab/Simulink, and the results verify the correctness and feasibility of control strategy.
This document summarizes a research paper that investigates improving the dynamic responses of grid-connected permanent magnet synchronous generator (PMSG) wind turbines using a fuzzy logic controller (FLC). The paper proposes using an FLC to control the pitch angle of the turbine blades based on wind speed and active power inputs. This allows for faster response compared to prior methods, leading to smoother power output and preventing mechanical damage. The system is modeled and simulated in Matlab/Simulink. Results show the FLC approach effectively regulates turbine output power under varying wind speeds and load conditions.
Most of generators utilized in wind turbines are the Doubly-Fed Induction Generator (DFIG). Indirect matrix converter (IMC) is a candidate for substituting the traditional back-to-back converter in the future due to advantages gained by elimination of electrolytic capacitor. Starting DFIG wind turbines and synchronizing to the grid is a challenge in practice because of large inrush currents that could damage switches. Synchronizing the DFIG wind turbine controlled by the IMC is presented in this paper. Also, maximum power point tracking algorithm performance of this configuration is examined. A laboratory scale prototype of the proposed configuration is built. Experimental results have confirmed effectiveness of this configuration.
Improved Transient Compensation using PI-SRF Control Scheme Based UHVDC for O...IRJET Journal
This document presents a PI controller-based unified high voltage direct current (UHVDC) system for offshore wind power plants to improve transient compensation. The proposed UHVDC system includes both series and shunt compensators to provide symmetrical and asymmetrical fault handling, smooth power transfer, regulated DC link voltage, and improved reliability. A PI controller using synchronous reference frame (SRF) control is proposed to achieve fast transient management. Simulation results in MATLAB/Simulink show the PI-SRF control technique regulates the DC link voltage and reduces transients during faults compared to conventional control schemes. The control strategy independently controls the shunt and series compensators to maintain power flow and voltage stability under normal and fault conditions.
Wind turbines form complex nonlinear mechanical systems exposed to uncontrolled wind
profiles. This makes turbine controller design a challenging task. As such, control of wind energy
conversion systems (WECS) is difficult due to the lack of systematic methods to identify requisite
robust and sufficiently stable conditions, to guarantee performance. The problem becomes more
complex when plant parameters become uncertain. This paper considers the wind energy curtailment
for which it provides a combinatorial planning model to maximize wind power utilization. The major
objective of this study is to develop an effective method for optimizing size of wind. A novel multiobjective
adaptation of the fuzzy based Harmony Search algorithm is proposed and tested for
efficiently solving the problem of optimally deploying wind turbines in wind farms. In this paper,
Harmony Search Algorithm (HSA) using fuzzy controller to achieve better optimization results and to
increase performance. A general formulation of this algorithm is presented together with an analytical
and mathematical modeling to solve the stability and performance of the system.
Fuzzy optimization strategy of the maximum power point tracking for a variab...IJECEIAES
Wind power systems are gaining more and more interests; in order to diminish dependence on fossil fuels. In this paper, we present a variable speed-wind energy global system based on a synchronous generator with permanent magnetic (PMSG). The major goal of this study is to track the maximum power that is present in the turbine. An examination of control methods to extract the MPPT point, from a wind energy conversion system (WECS) under variable speed situations is presented. An intelligent controller based on the fuzzy logic control (FLC) is proposed for regulating permanent magnetic synchronous generator (PMSG) output power, in order to improve tracking performance. The principle of this maximum power point tracking (MPPT) algorithm consists in looking for an optimal operating relation of the maximum power, then tracking this last. We simulated our system with MATLAB-Simulink software. The found results will be debated to elucidate performance of the global system.
Review Grid Connected Wind Photovoltaic Cogeneration Using Back to Back Volta...IJSRED
This document reviews a proposed system for grid-connected wind and photovoltaic cogeneration using back-to-back voltage source converters. The system uses a permanent magnet synchronous generator for wind power generation and a boost converter for maximum solar power generation through maximum power point tracking. Simulation results are provided to validate the proposed system, which is designed to maximize energy capture from the wind turbine and solar array and deliver it to the utility grid. Control systems are designed for maximum power point tracking of the solar array and synchronization of the inverters with the grid voltage.
PERMANENT MAGNET SYNCHRONOUS GENERATOR BASED WIND ENERGY CONVERSION SYSTEMIRJET Journal
This document describes a simulation study of a permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS) with maximum power point tracking (MPPT). It includes:
1) A model of a variable speed wind turbine with a PMSG, mechanical, electrical, and aerodynamic components.
2) Two MPPT techniques analyzed - perturb and observe (P&O) and particle swarm optimization (PSO) algorithms.
3) Simulation results in MATLAB/Simulink validating the wind turbine model and MPPT control strategies with constant and variable wind speed inputs.
Power Flow Control in Grid-Connected Wind Energy Conversion System Using PMSG...IOSR Journals
This document summarizes a research paper that proposes a new method for reducing grid current total harmonic distortion in a wind energy conversion system using a permanent magnet synchronous generator. The method uses optimal torque control for maximum power point tracking from the wind turbines. It then employs vector control of the grid-side inverter to both control active power injection into the grid and eliminate higher-order current harmonics from local nonlinear loads, improving power quality. Simulation results demonstrate the benefits of maximum power point tracking at different wind speeds and lower total harmonic distortion when the harmonic elimination function is used.
This document summarizes a research paper that proposes a new method for reducing grid current total harmonic distortion in a grid-connected wind energy conversion system using a permanent magnet synchronous generator. The method uses the grid-side inverter, which normally injects power into the grid, to also eliminate high-order harmonics generated by a nonlinear load connected to the grid. Simulation results on a system with a 20 kW permanent magnet synchronous generator show that when a nonlinear load is connected, the proposed harmonic elimination method significantly reduces the total harmonic distortion of the grid current compared to when it is not used. The maximum power point tracking algorithm employed also achieves over 97% tracking efficiency across different wind speeds tested.
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The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
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A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
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Artificial intelligence (AI) | Definitio
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.